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An Empirical Study on the Effectiveness of Marketing Activities for Ethical Drugs (ETC) (전문의약품 마케팅활동의 효과 측정에 관한 실증 연구)

  • Seung-Yeoun Noh;Keun-Woo Kim;Nam-Sik Chang
    • Asia-Pacific Journal of Business
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    • v.14 no.4
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    • pp.289-303
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    • 2023
  • Purpose - The purpose of this study is to investigate the types and forms of various marketing activities actually used in pharmaceutical companies and to empirically analyze the impact of these marketing activities on sales. Design/methodology/approach - This study categorize five years' worth of marketing activity data from a foreign pharmaceutical company 'A' which operates in South Korea into five categories. Multiple regression analysis and interaction effects are employed for data analysis. Findings - First, CRM calls, Detail calls, GP, and Web events have a positive impact on sales, but SoV does not show significant differences. Second, in the comparison between HQ1 and HQ2 based on patent ownership, Detail calls and Web events had a stronger impact on sales in HQ2, where the patent period is still in effect, compared to HQ1. However, SoV showed no difference between HQ1 and HQ2. Research implications or Originality - First, Detail Calls are more effective for drugs with active patents, while CRM Calls work better for drugs with expired patents. This emphasizes the need to customize call strategies based on patent status. Second, the significant impact of Web Events on sales in HQ2 compared to HQ1 suggests that online information access is crucial, indicating that customer receptivity varies based on product nature. Third, these insights, derived from data analysis, call for a shift in pharmaceutical marketing analysis methods away from traditional approaches. Finally, this study holds significance as one of the first empirical analyses using actual marketing data from pharmaceutical companies in South Korea.

Summarization of Soccer Video based on Multiple Cameras Using Dynamic Bayesian Network (동적 베이지안 네트워크를 이용한 다중 카메라기반 축구 비디오 요약)

  • Min, Jun-Ki;Park, Han-Saem;Cho, Sung-Bae
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.567-571
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    • 2009
  • Sports game broadcasting system uses multiple video cameras in order to offer exciting and dynamic scenes for the TV audiences. Since, however, the traditional broadcasting system edits the multiple views into a static video stream, it is difficult to provide the intelligent broadcasting service that summarizes or retrieves specific scenes or events based on the user preference. In this paper, we propose the summarization and retrieval system for the soccer videos based on multiple cameras. It extracts the highlights such as shot on goal, crossing, foul, and set piece using dynamic Bayesian network based on soccer players' primitive behaviors annotated on videos, and selects a proper view for each highlight according to its type. The proposed system, therefore, offers users the highlight summarization or preferred view selection, and can provide personalized broadcasting services by considering the user's preference.

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Intelligent DB Retrieval System for Marine Accidents Using FCM (FCM을 이용한 지능형 해양사고 DB 검색시스템 구축)

  • Park, Gyei-Kark;Han, Xu;Kim, Young-Ki;Oh, Se-Woong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.4
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    • pp.568-573
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    • 2009
  • Marine accidents have always caused huge economic losses, as well as environmental pollution. Prevention of marine accidents has become a focus of argumentation. The analysis of past accident cases, reviewing the experience and lessons, is important and necessary for preventing marine accidents. With the same subject above, the Korean Maritime Safety Tribunal provides for past marine accidents' written judgments and analysis of judgment and associated retrieval system on its homepage. In these systems, the name of the ship, accident occurrence time, accident pattern or related keywords are used as search conditions. However, most of the marine events' happening were not due to a single reason, but multiple ones. In addition, one marine event could often come under several categories. In this case, now the retrieval systems' DB is used on the Korean Maritime Safety Tribunal homepage was built based on single category and failed to be able to retrieve according to multiple reasons or multiple categories. In order to solve this problem, a more practical retrieval approach might be needed. Therefore, in this paper, a new retrieval system will be proposed, which using the linguistic label to describe the cluster after analyzing the relational properties between marine accidents and clustering by FCM algorithm, and then adding an interface to allow users to get the results they want through choosing multiple reasons or multiple categories.

Organizational Program Management of Multiple Maintenance Projects Under Fund Constraints (복수 개${\cdot}$보수 프로젝트의 자금제약하 프로그램 관리 - 자원제약 마스터-일정계획을 중심으로 -)

  • Koo Kyo-Jin
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.2 s.18
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    • pp.211-218
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    • 2004
  • In a large owner organization, a program manager of multiple maintenance and remodeling projects has experienced increasing scale and complexity of coordinating the M/R projects with in-house technicians who belong to multiple trade shops. This paper proposes a dual-level hierarchical planning strategy that consists of a program master plan in the long-term horizon and a master construction schedule in an operational scheduling window. A rolling horizon approach to the program master plan is proposed to deal with the external uncertainty of unknown stream of project requests. A resource-constrained scheduling algorithm is developed to generate the master construction schedule in a scheduling window. During development of the algorithm, more emphasis is placed on long-term organizational resource continuity, especially flow management of program constraint resources, than ephemeral events of an individual activity and project. Monte Carlo simulation experiments of three scheduling windows are used to evaluate the relative performance of the proposed scheduling algorithm against three popular scheduling heuristics for resource-constrained multiple projects.

An Embedded Systems Implementation Technique based on Multiple Finite State Machine Modeling using Microcontroller Interrupts (마이크로컨트롤러 인터럽트를 사용한 임베디드시스템의 다중 상태기계 모델링 기반 구현 기법)

  • Lee, Sang Seol
    • Journal of Korea Multimedia Society
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    • v.16 no.1
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    • pp.75-86
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    • 2013
  • This paper presents a technique to implement embedded systems using interrupts of the one-chip microcontroller with many peripherals based on a multiple finite state machines model. The multiple finite state machine model utilizes the structure of FSMD used for hardware design and the features of flow control by interrupts. The main finite state machine corresponds to the main program and the sub-state machines corresponds to the interrupt subroutines. Therefore, interrupts from the peripherals can be processed immediately in the sub-state machines. The request and reply variables are used to interface between the finite state machines. Additional operating system is not necessary for the context switching between the main state machine and the sub-state machine, because the flow-control caused by interrupt can be replaced with the switching. An embedded system modeled on multiple finite state machine with ASM charts can be easily implemented by the conversion of ASM charts into C-language programs. This implementation technique can be easily adopted to the hardware oriented embedded systems because of the detail description of the model and the fast response to the interrupt events in the sub-state machine.

Background Subtraction Algorithm Based on Multiple Interval Pixel Sampling (다중 구간 샘플링에 기반한 배경제거 알고리즘)

  • Lee, Dongeun;Choi, Young Kyu
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.1
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    • pp.27-34
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    • 2013
  • Background subtraction is one of the key techniques for automatic video content analysis, especially in the tasks of visual detection and tracking of moving object. In this paper, we present a new sample-based technique for background extraction that provides background image as well as background model. To handle both high-frequency and low-frequency events at the same time, multiple interval background models are adopted. The main innovation concerns the use of a confidence factor to select the best model from the multiple interval background models. To our knowledge, it is the first time that a confidence factor is used for merging several background models in the field of background extraction. Experimental results revealed that our approach based on multiple interval sampling works well in complicated situations containing various speed moving objects with environmental changes.

Verification of Human Error Factors for Access Control of Bodyguards through Multiple Risk Case Analysis

  • Kim, Jin-Hwan;Kim, Sang-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.9
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    • pp.143-150
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    • 2020
  • The purpose of this study is to investigate the human error of bodyguards caused in the process of performing access control activities between security missions, focusing on multiple risk cases, and to suggest countermeasures accordingly. To verify this, after arranging the sequence of events in a time series, the VTA technique and Why-Why analysis technique that can easily identify the problem centered on the variable node were used. In addition, environmental factors and personal factors that cause human errors were extracted through M-SHEL Metrix. As a result of analyzing multiple risk cases through such a method, the security environment factors that cause access control accidents include lack of time (impatience), prejudice against visitors, intensive work methods, lack of security management, unattended travel, and familiar atmosphere. (Relaxation), formal work activities, convenience provision, and underestimation were surveyed. In addition, human errors caused by personal security guards were investigated as low alertness, formal work, negligence of inspection, and comfortable coping.

Comparison of Data-based Real-Time Flood Forecasting Model (자료기반 실시간 홍수예측 모형의 비교·검토)

  • Choi, Hyun Gu;Han, Kun Yeun;Roh, Hong Sik;Park, Se Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.5
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    • pp.1809-1827
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    • 2013
  • Recently we need to take various measures to prepare for extreme flood that occur due to climate change. It is important that establish flood forecasting system to prepare flood over non-structure measures. The objective of this study is to develop superior real-time flood forecasting model by comparing the Neuro-fuzzy model and the multiple linear regression model. The Neuro-fuzzy model and the multiple linear regression model are established using same input data and applied for various flood events in Nakdong basin. The results show that the Neuro-fuzzy model can carry out flood forecasting results more accurately than the multiple linear regression model. This study can contribute to the establishment of a high accuracy flood information system that secure lead time in Nakdong basin.

A Best View Selection Method in Videos of Interested Player Captured by Multiple Cameras (다중 카메라로 관심선수를 촬영한 동영상에서 베스트 뷰 추출방법)

  • Hong, Hotak;Um, Gimun;Nang, Jongho
    • Journal of KIISE
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    • v.44 no.12
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    • pp.1319-1332
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    • 2017
  • In recent years, the number of video cameras that are used to record and broadcast live sporting events has increased, and selecting the shots with the best view from multiple cameras has been an actively researched topic. Existing approaches have assumed that the background in video is fixed. However, this paper proposes a best view selection method for cases in which the background is not fixed. In our study, an athlete of interest was recorded in video during motion with multiple cameras. Then, each frame from all cameras is analyzed for establishing rules to select the best view. The frames were selected using our system and are compared with what human viewers have indicated as being the most desirable. For the evaluation, we asked each of 20 non-specialists to pick the best and worst views. The set of the best views that were selected the most coincided with 54.5% of the frame selection using our proposed method. On the other hand, the set of views most selected as worst through human selection coincided with 9% of best view shots selected using our method, demonstrating the efficacy of our proposed method.

Acupuncture for Subacute and Chronic Post-thoracotomy Pain in Patients with Traumatic Multiple Rib Fractures: A Study Protocol for a Randomised-controlled, Two-arm, Parallel Design, Pilot Trial

  • Kim, Kun Hyung;Cho, Hyun Min;Lee, Chan Kyu;Seok, JunePill;Kim, Seon Hee;Kim, Jung-Eun;Shin, Yu Kyung;Kim, Min Kyung
    • Journal of Acupuncture Research
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    • v.35 no.2
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    • pp.95-100
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    • 2018
  • Background: The aim of this study is to assess the feasibility of acupuncture treatment for the management of subacute and chronic post-thoracotomy pain in patients with traumatic multiple rib fractures. Methods: A total of 30 participants who have undergone thoracotomy after traumatic multiple rib fractures will be recruited. Participants will be invited and equally randomised into acupuncture plus usual care and usual care alone groups. A computer-generated random number sequence will be used and concealed using opaque, sealed, sequentially numbered envelopes. Twelve sessions of manual and electrical acupuncture performed by Korean medicine doctors will be provided over a span of 3 months to participants allocated to the acupuncture group. Participants in the usual care group will continue pain medication, exercise and physical therapy as required. Study feasibility will be measured based on the proportion of patients who complete the measurement of pain at 12 or 24 weeks after baseline. The clinical outcomes will include; the average pain intensity over the recent week at rest, movement and cough, quality of life, patient's global assessment of recovery, respiratory function measured by the pulmonary function test and use of pain medication at 4, 8, 12 and 24 weeks after enrolment. Adverse events will be recorded for all participants. Written informed consent will be obtained from all participants. The local ethics committee has approved the study. This pilot trial will inform further studies investigating the potential role of acupuncture for subacute and chronic post-thoracotomy pain in patients with traumatic multiple rib fractures.